↓ Skip to main content

Genotype-phenotype correlation in Japanese patients with familial Mediterranean fever: differences in genotype and clinical features between Japanese and Mediterranean populations

Overview of attention for article published in Arthritis Research & Therapy, September 2014
Altmetric Badge

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genotype-phenotype correlation in Japanese patients with familial Mediterranean fever: differences in genotype and clinical features between Japanese and Mediterranean populations
Published in
Arthritis Research & Therapy, September 2014
DOI 10.1186/s13075-014-0439-7
Pubmed ID
Authors

Dai Kishida, Akinori Nakamura, Masahide Yazaki, Ayako Tsuchiya-Suzuki, Masayuki Matsuda, Shu-ichi Ikeda

Abstract

Familial Mediterranean fever (FMF) is a hereditary autoinflammatory disease characterized by recurrent self-limiting fever and serositis that mainly affects Mediterranean populations. Many patients with FMF have been reported in Japan due to increasing recognition of this condition and the availability of genetic analysis for the gene responsible, MEFV. The present study was performed to elucidate the clinical characteristics of Japanese FMF patients and to examine the precise genotype-phenotype correlation in a large cohort of Japanese FMF patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Other 7 12%
Student > Doctoral Student 6 11%
Researcher 6 11%
Professor > Associate Professor 4 7%
Other 12 21%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 22 39%
Biochemistry, Genetics and Molecular Biology 6 11%
Agricultural and Biological Sciences 3 5%
Immunology and Microbiology 3 5%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 20 35%